Battery Adapter Piece Alignment for Liquid Leakage Detection
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Solution Overview
Problem
Current methods for checking assembly deviation between the adapter piece and the top cover in batteries rely on manual visual inspection, which is unreliable and prone to liquid leakage risks.
Innovation Solution
A liquid leakage detection method using image recognition to acquire and process images of batteries, recognizing adapter piece and top cover images, and determining positional offsets to assess if the assembly position conforms to the intended design, thereby detecting potential liquid leakage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual visual inspection is used to check assembly deviation, then the detection process is simple and low-cost, but the reliability and accuracy of detection are poor
Solution Approach 1:
The patent replaces manual visual inspection with an automated image recognition system that captures images of the adapter piece and top cover, processes them through grayscale conversion and coordinate extraction, and automatically determines assembly deviation. This substitution of mechanical/manual detection with an automated optical-digital system resolves the contradiction by providing high reliability and accuracy while maintaining operational simplicity through software automation.
2Reliability
If manual visual inspection is used to check assembly deviation, then the detection method is easy to operate, but human error occurs and liquid leakage risk increases
Solution Approach 1:
The image recognition system performs self-service by automatically capturing images, processing them through grayscale conversion, extracting coordinates of key features (adapter piece outer circle, top cover inner circle), calculating assembly deviation, and determining liquid leakage risk without human intervention. This automation eliminates human error while maintaining ease of operation through a streamlined automated workflow that requires minimal user input.
3Measurement precision
If image recognition is used to detect assembly deviation, then detection accuracy and reliability improve, but the processing complexity increases
Solution Approach 1:
The patent segments the image processing task into distinct, manageable steps: grayscale image conversion, coordinate extraction of the adapter piece outer circle, coordinate extraction of the top cover inner circle, calculation of assembly deviation, and determination of liquid leakage risk. This segmentation of the complex image recognition process into modular sequential operations reduces overall processing complexity while maintaining high measurement precision through systematic analysis of each component.
Data Source
AI summary
A liquid leakage detection method comprises: acquiring an image to be processed of a battery; recognizing the image to be processed to obtain an adapter piece image and a top cover image; and determining whether there is liquid leakage in the battery according to the adapter piece image and the top cover image.